{"id":"W2142690680","doi":"10.1177/1462474505048134","title":"‘If we are tough on crime, if we punish crime, then people get the message’","year":2004,"lang":"en","type":"article","venue":"Punishment & Society","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Department of Justice","keywords":"Legislation; Criminology; Punishment (psychology); Economic Justice; Political science; Accountability; Criminal justice; Government (linguistics); House of Commons; Law; Politics; Sociology; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008638897,0.0002855294,0.0003329744,0.00004299321,0.002564082,0.000427231,0.0007391688,0.0001858329,0.0005947652],"category_scores_gemma":[0.0001118469,0.0002160231,0.000687195,0.0009055106,0.0003330643,0.0003020976,0.0001510529,0.0004764503,0.0002028163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544123,"about_ca_system_score_gemma":0.0002925301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224847,"about_ca_topic_score_gemma":0.004761769,"domain_scores_codex":[0.997304,0.0002169059,0.0003288423,0.000501519,0.0009792962,0.0006694022],"domain_scores_gemma":[0.9985037,0.0002824797,0.000225792,0.0005962328,0.0002024811,0.0001893585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005418966,0.001494062,0.001623863,0.000123479,0.0007023164,0.00001843911,0.6898764,0.0009563504,0.000152669,0.05513543,0.2173042,0.03255858],"study_design_scores_gemma":[0.0003656232,0.00008007004,0.003224887,0.00008403412,0.0006477363,0.000001631611,0.7954606,0.00006718912,0.0003064552,0.004495754,0.1949149,0.0003510416],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6000928,0.006397245,0.00572613,0.1795164,0.00400339,0.00243945,0.0001378906,0.001162544,0.2005242],"genre_scores_gemma":[0.9832322,0.009221897,0.0002534601,0.002830624,0.0008070684,0.00009737724,0.00001413029,0.0000279119,0.003515348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3831394,"threshold_uncertainty_score":0.9987344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416256261029936,"score_gpt":0.2988305133906157,"score_spread":0.2746679507803164,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}